$-method | Gamma prior class for the LambdaStar parameter. |

$-method | Normal prior class for Beta and Delta parameters. |

$-method | Class for the result of the MCMC procedure. |

$-method | Class for the initial values for the MCMC for the bayesPO package |

$-method | Class that defines a model for the bayesPO package. |

$-method | Joint prior class for the bayesPO package parameters |

$<--method | Gamma prior class for the LambdaStar parameter. |

$<--method | Normal prior class for Beta and Delta parameters. |

$<--method | Class that defines a model for the bayesPO package. |

$<--method | Joint prior class for the bayesPO package parameters |

*-method | Class for the initial values for the MCMC for the bayesPO package |

+-method | Class for the result of the MCMC procedure. |

+-method | Class for the initial values for the MCMC for the bayesPO package |

as.array-method | Class for the result of the MCMC procedure. |

as.array.bayesPO_fit | Class for the result of the MCMC procedure. |

as.data.frame-method | Class for the result of the MCMC procedure. |

as.data.frame.bayesPO_fit | Class for the result of the MCMC procedure. |

as.matrix-method | Class for the result of the MCMC procedure. |

as.matrix.bayesPO_fit | Class for the result of the MCMC procedure. |

barplot.covariates_importance | Class for covariates importance matrices |

bayesPO_fit-class | Class for the result of the MCMC procedure. |

bayesPO_initial-class | Class for the initial values for the MCMC for the bayesPO package |

bayesPO_model | Build a model to be used in the 'bayesPO' fitting function |

bayesPO_model-class | Class that defines a model for the bayesPO package. |

bayesPO_prior-class | Joint prior class for the bayesPO package parameters |

BetaDeltaPrior-class | Generic class for the beta and delta parameters. |

boxplot.covariates_importance | Class for covariates importance matrices |

c-method | Class for the result of the MCMC procedure. |

covariates_importance-class | Class for covariates importance matrices |

fit_bayesPO | Fit presence-only data using a Bayesian Poisson Process model |

fit_bayesPO-method | Fit presence-only data using a Bayesian Poisson Process model |

GammaPrior | Create a Gamma prior object for model specification. |

GammaPrior-class | Gamma prior class for the LambdaStar parameter. |

initial | Initial values constructor for bayesPO modeling |

LambdaStarPrior-class | Generic class for the LambdaStar parameters. |

names-method | Gamma prior class for the LambdaStar parameter. |

names-method | Normal prior class for Beta and Delta parameters. |

names-method | Class for the result of the MCMC procedure. |

names-method | Class for the initial values for the MCMC for the bayesPO package |

names-method | Class that defines a model for the bayesPO package. |

names-method | Joint prior class for the bayesPO package parameters |

names.bayesPO_fit | Class for the result of the MCMC procedure. |

NormalPrior | Create a Normal prior object for model specification. |

NormalPrior-class | Normal prior class for Beta and Delta parameters. |

plot.covariates_importance | Class for covariates importance matrices |

print-method | Generic class for the beta and delta parameters. |

print-method | Gamma prior class for the LambdaStar parameter. |

print-method | Normal prior class for Beta and Delta parameters. |

print-method | Class for the result of the MCMC procedure. |

print-method | Class for the initial values for the MCMC for the bayesPO package |

print-method | Class that defines a model for the bayesPO package. |

print-method | Joint prior class for the bayesPO package parameters |

print.bayesPO_fit | Class for the result of the MCMC procedure. |

print.bayesPO_initial | Class for the initial values for the MCMC for the bayesPO package |

print.bayesPO_model | Class that defines a model for the bayesPO package. |

print.bayesPO_prior | Joint prior class for the bayesPO package parameters |

print.BetaDeltaPrior | Generic class for the beta and delta parameters. |

print.covariates_importance | Class for covariates importance matrices |

print.GammaPrior | Gamma prior class for the LambdaStar parameter. |

print.NormalPrior | Normal prior class for Beta and Delta parameters. |

prior | Build a joint prior for bayesPO model parameters |

show-method | Generic class for the beta and delta parameters. |

show-method | Gamma prior class for the LambdaStar parameter. |

show-method | Generic class for the LambdaStar parameters. |

show-method | Normal prior class for Beta and Delta parameters. |

show-method | Class for the result of the MCMC procedure. |

show-method | Class for the initial values for the MCMC for the bayesPO package |

show-method | Class that defines a model for the bayesPO package. |

show-method | Joint prior class for the bayesPO package parameters |

summary-method | Class for the result of the MCMC procedure. |

summary.bayesPO_fit | Class for the result of the MCMC procedure. |

[[-method | Class for the result of the MCMC procedure. |